Companies in the United States using Kubernetes
2,333 companies headquartered in the United States list Kubernetes as a requirement in 13,633 open roles. Most of those roles are in backend engineering, DevOps and infrastructure and AI and machine learning teams. Kubernetes most often appears next to Python, CI/CD, Docker, AWS and SQL. Roles that need it and state the pay sit at $180k a year in the middle.
Companies with the most open Kubernetes roles
25 of 2,333 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 278 | Backend engineering, DevOps and infrastructure, Solutions engineering | $236k | |
| 5000+ | 257 | Backend engineering, AI and machine learning, Engineering leadership | $152k | |
| 5000+ | 198 | Backend engineering, AI and machine learning, DevOps and infrastructure | $211k | |
| 5000+ | 144 | DevOps and infrastructure, Backend engineering, AI and machine learning | $142k | |
| 5000+ | 127 | Backend engineering, DevOps and infrastructure, Solutions engineering | $225k | |
| 5000+ | 123 | DevOps and infrastructure, Backend engineering, AI and machine learning | $143k | |
| 1001-5000 | 117 | Backend engineering, DevOps and infrastructure, AI and machine learning | $176k | |
| 501-1000 | 109 | Backend engineering, Solutions engineering, Industrial engineering | $212k | |
| 5000+ | 108 | Backend engineering, DevOps and infrastructure, AI and machine learning | — | |
| 5000+ | 107 | DevOps and infrastructure, Backend engineering, AI and machine learning | $232k | |
| 5000+ | 104 | DevOps and infrastructure, Backend engineering, Solutions engineering | $129k | |
| 5000+ | 101 | Backend engineering, AI and machine learning, DevOps and infrastructure | $153k | |
| 5000+ | 98 | DevOps and infrastructure, Backend engineering, Security | $151k | |
| 94 | Solutions engineering, Backend engineering, Marketing | $175k | ||
| 501-1000 | 88 | DevOps and infrastructure, Backend engineering, Networking | $91k | |
| 5000+ | 82 | DevOps and infrastructure, Backend engineering, AI and machine learning | — | |
| 5000+ | 82 | DevOps and infrastructure, Backend engineering, AI and machine learning | $109k | |
| 1001-5000 | 75 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| 201-500 | 74 | Backend engineering, Security, Management | $195k | |
| 5000+ | 74 | Backend engineering, DevOps and infrastructure, AI and machine learning | $156k | |
| 1001-5000 | 73 | Solutions engineering, DevOps and infrastructure, Backend engineering | $187k | |
| 1001-5000 | 72 | Backend engineering, DevOps and infrastructure, AI and machine learning | $202k | |
| 1001-5000 | 69 | DevOps and infrastructure, Backend engineering, AI and machine learning | $168k | |
| 5000+ | 59 | DevOps and infrastructure, Backend engineering, AI and machine learning | $121k | |
| 5000+ | 57 | Backend engineering, DevOps and infrastructure, Security | — |
Kubernetes in other countries
What these companies also use
Teams hiring for Kubernetes
Get all 2,333 companies as a list
Name, website, size, industry and headquarters of every company that requires Kubernetes, through the API (company.getList with technology=Kubernetes and country=US). 2,333 companies × 0.02 credits = 46.66 credits ($4.67).
Questions
How do you know a company uses Kubernetes?
A company counts when at least one of its open job postings lists Kubernetes as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of Kubernetes itself are left out.
Which teams hire for Kubernetes?
Of the 13,633 open roles that require it, most are in backend engineering (4,732), DevOps and infrastructure (3,423) and AI and machine learning (1,328).
What do Kubernetes roles pay?
6,098 of the 13,633 roles state the pay. The middle of their posted ranges is $180k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Kubernetes and country=US returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.
